{"id":"https://openalex.org/W2507522396","doi":"https://doi.org/10.1080/00207543.2016.1218565","title":"INAR implementation of newsvendor model for serially dependent demand counts","display_name":"INAR implementation of newsvendor model for serially dependent demand counts","publication_year":2016,"publication_date":"2016-08-16","ids":{"openalex":"https://openalex.org/W2507522396","doi":"https://doi.org/10.1080/00207543.2016.1218565","mag":"2507522396"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2016.1218565","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2016.1218565","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045236917","display_name":"Layth C. Alwan","orcid":"https://orcid.org/0000-0002-5653-3098"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Layth C. Alwan","raw_affiliation_strings":["Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA"],"affiliations":[{"raw_affiliation_string":"Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078285166","display_name":"Christian Wei\u00df","orcid":"https://orcid.org/0000-0001-8739-6631"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian H. Wei\u00df","raw_affiliation_strings":["Department of Mathematics and Statistics, Helmut Schmidt University, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Helmut Schmidt University, Hamburg, Germany","institution_ids":["https://openalex.org/I190134885"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078285166"],"corresponding_institution_ids":["https://openalex.org/I190134885"],"apc_list":null,"apc_paid":null,"fwci":1.9208,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87820865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"55","issue":"4","first_page":"1085","last_page":"1099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/newsvendor-model","display_name":"Newsvendor model","score":0.9839401245117188},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7022180557250977},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5350286960601807},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4983036518096924},{"id":"https://openalex.org/keywords/overdispersion","display_name":"Overdispersion","score":0.47518956661224365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4128563106060028},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.3822614848613739},{"id":"https://openalex.org/keywords/count-data","display_name":"Count data","score":0.3542135953903198},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3468717932701111},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3326217532157898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28140562772750854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16882523894309998}],"concepts":[{"id":"https://openalex.org/C36181114","wikidata":"https://www.wikidata.org/wiki/Q3130009","display_name":"Newsvendor model","level":3,"score":0.9839401245117188},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7022180557250977},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5350286960601807},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4983036518096924},{"id":"https://openalex.org/C117236510","wikidata":"https://www.wikidata.org/wiki/Q7113620","display_name":"Overdispersion","level":4,"score":0.47518956661224365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4128563106060028},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.3822614848613739},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.3542135953903198},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3468717932701111},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3326217532157898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28140562772750854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16882523894309998},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2016.1218565","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2016.1218565","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:55:y:2017:i:4:p:1085-1099","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2016.1218565","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1521963786","https://openalex.org/W1898999968","https://openalex.org/W1963833123","https://openalex.org/W1965660297","https://openalex.org/W1970860694","https://openalex.org/W1975545277","https://openalex.org/W1979869620","https://openalex.org/W1983946597","https://openalex.org/W1994267238","https://openalex.org/W1994878811","https://openalex.org/W2002860338","https://openalex.org/W2003965326","https://openalex.org/W2005270316","https://openalex.org/W2008118637","https://openalex.org/W2011703254","https://openalex.org/W2028108138","https://openalex.org/W2029471946","https://openalex.org/W2032051534","https://openalex.org/W2032770662","https://openalex.org/W2051048185","https://openalex.org/W2066764941","https://openalex.org/W2072800284","https://openalex.org/W2075343536","https://openalex.org/W2089542294","https://openalex.org/W2097638519","https://openalex.org/W2101091157","https://openalex.org/W2104925392","https://openalex.org/W2108192761","https://openalex.org/W2109781455","https://openalex.org/W2114055663","https://openalex.org/W2114086033","https://openalex.org/W2123594576","https://openalex.org/W2131222955","https://openalex.org/W2137656647","https://openalex.org/W2147545132","https://openalex.org/W2153552426","https://openalex.org/W2155757720","https://openalex.org/W2157353091","https://openalex.org/W2165691491","https://openalex.org/W2166304961","https://openalex.org/W2170304254","https://openalex.org/W2171166043","https://openalex.org/W2502049629","https://openalex.org/W2551094794","https://openalex.org/W2557445913","https://openalex.org/W2557613229","https://openalex.org/W2582743722","https://openalex.org/W2798202585","https://openalex.org/W3003301401","https://openalex.org/W3125844886","https://openalex.org/W4256170606","https://openalex.org/W4298856664"],"related_works":["https://openalex.org/W2189104843","https://openalex.org/W2885569989","https://openalex.org/W3134768068","https://openalex.org/W2081430863","https://openalex.org/W2765416750","https://openalex.org/W3178810070","https://openalex.org/W4280505828","https://openalex.org/W2302712328","https://openalex.org/W4205105287","https://openalex.org/W1982721348"],"abstract_inverted_index":{"The":[0],"classic":[1],"newsvendor":[2,37,83,90,100,145],"model":[3,38,127,146],"was":[4],"developed":[5],"under":[6],"the":[7,19,36,81,105,110,117,121,124,140,144],"assumption":[8],"that":[9,95],"period-to-period":[10],"demand":[11,23],"is":[12,24],"independent":[13,22],"over":[14,137],"time.":[15],"In":[16,27],"real-life":[17],"applications,":[18],"notion":[20],"of":[21,35,43,119,123,143],"often":[25],"challenged.":[26],"this":[28],"paper,":[29],"we":[30,56],"propose":[31],"a":[32,41,87],"dynamic":[33],"implementation":[34,142],"based":[39,147],"on":[40,148],"class":[42],"integer-valued":[44],"autoregressive":[45,126],"(INAR)":[46],"models":[47,59],"when":[48],"facing":[49],"correlated":[50],"discrete":[51],"demand.":[52],"Motivated":[53],"by":[54],"application,":[55],"consider":[57],"INAR":[58],"with":[60,66,80,86],"underlying":[61,67],"Poisson":[62],"error":[63,69],"innovations":[64,70],"and":[65,85,138],"negative-binomial":[68],"to":[71,134],"accommodate":[72],"overdispersion":[73],"scenarios.":[74],"We":[75],"numerically":[76],"compare":[77],"our":[78],"proposal":[79],"standard":[82,88,106,125,141],"solution":[84,101],"autoregressive-based":[89],"solution.":[91],"Our":[92],"results":[93],"show":[94],"an":[96,129],"appropriately":[97],"specified":[98],"INAR-based":[99],"not":[102],"only":[103],"outperforms":[104],"case":[107],"but":[108],"also":[109],"approximating":[111,130],"forecasting":[112],"approaches.":[113],"Moreover,":[114],"even":[115],"in":[116],"presence":[118],"autocorrelation,":[120],"use":[122],"as":[128],"approach":[131],"can":[132],"lead":[133],"increased":[135],"costs":[136],"above":[139],"no":[149],"forecasting.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}